Prediction Intelligence System Based Real Time Monitoring of Yoga Performers
-
Published:2019-01-10
Issue:1
Volume:12
Page:11-17
-
ISSN:2213-2759
-
Container-title:Recent Patents on Computer Science
-
language:en
-
Short-container-title:CSENG
Author:
Prasanna Mani1, Thangavelu Arun Kumar1, Sangaiah Arun Kumar1, Jawid Nazir Mohamed Iqubal2
Affiliation:
1. Vellore Institute of Technology, Vellore, Tamil Nadu, India 2. School of Engineering and IT, Manipal Academy of Higher Education, Dubai, United Arab Emirates
Abstract
Background:
Health is the major concern of each and every individual. Being fit both
physically and mentally is not an easy task. Yoga and meditation is considered as an optimal
solution for the same. In Yoga, Yogi (person who does yoga) performs various asanas (body
postures) which energize and refresh their body cells and keep them fit. The real purpose of yoga
asanas and breathing techniques is to achieve optimal health possibly the best physical condition
based on their life style, environment, age and genetics. Various clinical studies claim that yoga can
provide improved mental and physical fitness rather than other physical training or stress management
techniques.
Objective:
Our aim is to increase the performance of the postures of the Yogis, through yoga assistant
kit with prediction intelligence which will assist the person to perform suitable yoga postures.
This will help the Yogis to achieve more positive results in the practice of Yoga, with highest quality
of meditation. The developed IoT kit consists of a hardware module (embedded in wrist band)
and a mobile application. The yogi should wear the wrist band while practising yoga. The wrist band
consists of various sensors like temperature sensor, pressure sensor, humidity sensor etc. which
sense body parameters and store it in a central database. Using neural networks and embedded
intelligence our system aims to predict the number of sun salutations a person (yogi) should perform
based on the parameters collected from the kit. The results showed that our system works as a virtual
trainer which suggests the yogi with the appropriate asanas to be performed based on present body
conditions.
Methods:
It is safe to wear this light weight wrist band as it is made up of a cotton band. The
components are embedded inside the band and is safe to use though it uses button cells as a power
source. The system is charged by button cells. It is both economical and safe to use it as the kit is
designed in such a manner that it doesn’t cause any sort of skin allergies or side effects.
</P><P>
Discussion: There is no standard yoga assistant kit available in the market as of now. So our
proposed kit can assist the yoga performers to perform yoga in an efficient manner. The intention of
our kit is not to improve the health of a yoga person instead it focuses on assisting the yoga person
with a set of asanas to be performed at a particular body condition. The smart phone version
provides live assistance for the yoga performer with relevant videos. The kit doesn’t consist of any
expensive components and hence we can market this product in a nominal price. We performed a
clinical study in Amrutha Yoga centre and the results showed that it is non allergic and safe to use
for both kids and elder persons.
Conclusion:
Thus our proposed yoga kit will be an intelligent assistant for every yoga performer to
practice yoga efficiently and effectively.
Publisher
Bentham Science Publishers Ltd.
Subject
General Computer Science
Reference19 articles.
1. Palasuwan A, Margaritis I, Soogarun S, Rousseau AS. J Nutr Health Aging, Dietary intakes and antioxidant status in mind-body exercising pre-and postmenopausal women.,, 2011, 15,, 577-584, 2. Kristal AR, Littman AJ, Benitez D, White E. Altern Ther Health Med, Yoga practice is associated with attenuated weight gain in healthy, middle aged men and women.,, 2005, 11,, 28-33, 3. Chang DG, Holt JA, Sklar M, Groessl EJ. J Orthop Rheumatol, Yoga as a treatment for chronic low back pain: A systematic review of the literature.,, 2016, 3,, 1-8, 4. Cramer H, Langhorst J, Dobos G, Lauche R. Eur J Prev Cardiol, Yoga for metabolic syndrome: A systematic review and meta analysis.,, 2016, 23,, 1982-1993, 5. Raub JA. J Altern Complement Med, Psychophysiologic effects of Hatha Yoga on musculoskeletal and cardio-pulmonary function: A literature review.,, 2002, 8,, 797-812,
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|